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Journal of Pharmacokinetics and Pharmacodynamics|September 28, 2007
Physiologically based pharmacokinetic modelling: a sub-compartmentalized model of tissue distributionMax von Kleist, Wilhelm Huisinga
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|January 23, 2016
Top-down and bottom-up modeling in system pharmacology to understand clinical efficacy: An example with NRTIs of HIV-1Sulav Duwal, Max von Kleist
Viruses|August 10, 2021
Mathematical Modelling of the Molecular Mechanisms of Interaction of Tenofovir with Emtricitabine against HIVSara Iannuzzi, Max von Kleist
European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences|January 20, 2009
Pharmacokinetic-pharmacodynamic relationship of NRTIs and its connection to viral escape: an example based on zidovudineMax von Kleist, Wilhelm Huisinga
Plos Computational Biology|April 3, 2010
Drug-class specific impact of antivirals on the reproductive capacity of HIVMax von Kleist, Stephan Menz, Wilhelm Huisinga
Plos Computational Biology|December 23, 2021
Numerical approaches for the rapid analysis of prophylactic efficacy against HIV with arbitrary drug-dosing schemesLanxin Zhang, Junyu Wang, Max von Kleist
Plos One|July 19, 2012
Pharmacokinetics and pharmacodynamics of the reverse transcriptase inhibitor tenofovir and prophylactic efficacy against HIV-1 infectionSulav Duwal, Christof Schütte, Max von Kleist
Plos Computational Biology|May 1, 2015
Optimal Treatment Strategies in the Context of 'Treatment for Prevention' against HIV-1 in Resource-Poor SettingsSulav Duwal, Stefanie Winkelmann, Christof Schütte, et al.
Plos Computational Biology|June 15, 2018
Hybrid stochastic framework predicts efficacy of prophylaxis against HIV: An example with different dolutegravir prophylaxis schemesSulav Duwal, Laura Dickinson, Saye Khoo, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 26, 2021
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural NetworksFelix Peppert, Max Von Kleist, Christof Schutte, et al.
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